Stars
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
RNA, mRNA, DNA, Peptide, Protein, Antibody and Complex | Folding
Python package for processing image-based profiling data
An open-source application for biological image analysis
Morphological profiling using deep learning
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Google Research
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
active learning for accelerated high-throughput virtual screening
Open source code for AlphaFold 2.
Graphormer is a general-purpose deep learning backbone for molecular modeling.
A modular active learning framework for Python
Python package for graph neural networks in chemistry and biology
Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.
Pseudo Likelihood Maximization for protein in Julia
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.